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質問 1：
Which IBM storage solution provides capabilities for improving data economics in an analytics
environment based on these criteria?
. Self-tuning and always optimized
. Consistently delivering high performance
. Highly scalable storage services for a wide range of dynamic workloads
. Self-healing
. Providing support for data at rest encryption
A. IBM XIV Storage System
B. IBM SAN Volume Controller
C. IBM StorwizeV7000
D. IBM Flash System
正解：C
質問 2：
What can be used as business value entry points when developing an Optimize Operations solution?
A. Operation risk, retention
B. Harness and analyze all data, govern and protect all data
C. Enable full spectrum of analytics, optimize Big Data & Analytics infrastructure
D. Business process operations, infrastructure and asset efficiency
正解：C
質問 3：
What are the key features of IBM DB2 with BLU Acceleration - Power Systems Edition?
A. Actionable Compression. Asynchronous Data Processing, Data Tiering, and Data Skipping
B. Dynamic In-Memory processing, Actionable Compression, and Asynchronous Data Processing
C. Dynamic In-Memory processing, Actionable Compression, Parallel Vector processing, and Data
Skipping
D. Dynamic In-Memory processing, Parallel Vector processing, and Data Tiering
正解：C
質問 4：
Which two statements are true for row oriented databases?
A. It has advantages for data warehouses, customer relationship management systems, and other adhoc
inquiry systems where aggregates are computed over large numbers of similar data items.
B. They are self-indexing which makes use of less disk space compared to a columnar Oriented database
system.
C. They are not well suited for OLTP workloads which are more heavily loaded with Interactive
transactions.
D. They are ideal when many columns of a single row are required at the same time and when row-size is
relatively small, as the entire row can be retrieved with a single disk read.
E. They are well suited for OLTP workloads which are more heavily loaded with Interactive transactions.
正解：D,E
質問 5：
What is the primary benefit of an in-database analytics solution?
A. Reducing the elapsed time between query and result
B. Loading data into the analytic environment
C. Moving data from the analytic engine to the reporting engine
D. Preparing data for analysis
正解：D
質問 6：
A public utility customer wants to detect anomalous conditions from data received from hundreds of
thousands of sensors that monitor load and heat throughout their network. This data needs to be
analyzed near real time in order to make adjustments before a piece of equipment shuts down or fails
from an overload. This is an example of what type of data?
A. Unstructured Data
B. Relational Data
C. Structured Data
D. Streaming Data
正解：C
Which IBM storage solution provides capabilities for improving data economics in an analytics
environment based on these criteria?
. Self-tuning and always optimized
. Consistently delivering high performance
. Highly scalable storage services for a wide range of dynamic workloads
. Self-healing
. Providing support for data at rest encryption
A. IBM XIV Storage System
B. IBM SAN Volume Controller
C. IBM StorwizeV7000
D. IBM Flash System
正解：C
質問 2：
What can be used as business value entry points when developing an Optimize Operations solution?
A. Operation risk, retention
B. Harness and analyze all data, govern and protect all data
C. Enable full spectrum of analytics, optimize Big Data & Analytics infrastructure
D. Business process operations, infrastructure and asset efficiency
正解：C
質問 3：
What are the key features of IBM DB2 with BLU Acceleration - Power Systems Edition?
A. Actionable Compression. Asynchronous Data Processing, Data Tiering, and Data Skipping
B. Dynamic In-Memory processing, Actionable Compression, and Asynchronous Data Processing
C. Dynamic In-Memory processing, Actionable Compression, Parallel Vector processing, and Data
Skipping
D. Dynamic In-Memory processing, Parallel Vector processing, and Data Tiering
正解：C
質問 4：
Which two statements are true for row oriented databases?
A. It has advantages for data warehouses, customer relationship management systems, and other adhoc
inquiry systems where aggregates are computed over large numbers of similar data items.
B. They are self-indexing which makes use of less disk space compared to a columnar Oriented database
system.
C. They are not well suited for OLTP workloads which are more heavily loaded with Interactive
transactions.
D. They are ideal when many columns of a single row are required at the same time and when row-size is
relatively small, as the entire row can be retrieved with a single disk read.
E. They are well suited for OLTP workloads which are more heavily loaded with Interactive transactions.
正解：D,E
質問 5：
What is the primary benefit of an in-database analytics solution?
A. Reducing the elapsed time between query and result
B. Loading data into the analytic environment
C. Moving data from the analytic engine to the reporting engine
D. Preparing data for analysis
正解：D
質問 6：
A public utility customer wants to detect anomalous conditions from data received from hundreds of
thousands of sensors that monitor load and heat throughout their network. This data needs to be
analyzed near real time in order to make adjustments before a piece of equipment shuts down or fails
from an overload. This is an example of what type of data?
A. Unstructured Data
B. Relational Data
C. Structured Data
D. Streaming Data
正解：C
Hoshino -
豊富な補足解説が理解を深める 最近のC2090-136出題傾向を理解するためで、解答解説を収録しています。